Personalized Insulin Delivery Profiles for Target Glucose Control
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Solution Overview
Problem
Existing insulin delivery systems fail to account for individual variations in insulin sensitivity and blood glucose levels, leading to inconsistent treatment outcomes for people with diabetes.
Innovation Solution
A diabetes management system that utilizes a flash glucose monitor and a control device to personalize insulin delivery based on user-initiated blood glucose readings, generating multiple insulin delivery profiles to approximate a target blood glucose level, and adjusting factors like insulin sensitivity and carbohydrate ratios over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If standardized insulin delivery is used, then device complexity is reduced, but treatment effectiveness deteriorates due to individual variations in insulin sensitivity and blood glucose levels
Solution Approach 1:
The system dynamically adjusts insulin delivery parameters (basal rate, bolus amount) based on individual patient blood glucose readings and insulin sensitivity factors. The insulin sensitivity factor is automatically updated based on glucose trend analysis, allowing the system to adapt to changing physiological conditions while maintaining effective glucose control
Solution Approach 2:
The system continuously monitors blood glucose levels and uses this feedback to adjust future insulin deliveries. The glucose monitor provides real-time data that feeds into the insulin delivery algorithm, creating a closed-loop system that automatically responds to individual patient needs without requiring manual reprogramming
2Measurement precision
If frequent blood glucose monitoring is implemented, then blood glucose control precision is improved, but loss of time increases due to repeated user actions required by flash glucose monitors
Solution Approach 1:
The flash glucose monitor provides continuous glucose monitoring capability, maintaining a reservoir of glucose readings that can be accessed on-demand. Once the monitor is activated, it continuously measures glucose levels and stores the data, eliminating the need for repeated activation actions and providing uninterrupted glucose information for insulin delivery decisions
3Adaptability or versatility
If multiple insulin delivery profiles are generated, then adaptability to different physiological conditions is improved, but device complexity increases due to profile selection and management
Solution Approach 1:
The system dynamically generates and switches between multiple insulin delivery profiles based on real-time blood glucose data and predicted glucose trends. The algorithm automatically determines which profile (e.g., different basal rates, bolus multipliers) is most appropriate for current physiological conditions, eliminating the need for manual profile selection while maintaining high adaptability
Data Source
AI summary
Methods of insulin delivery may include selecting a basal insulin delivery rate responsive to a projected blood glucose level that approximates a target blood glucose level. Methods of insulin delivery may further include generating insulin delivery instructions for an insulin delivery device, the insulin delivery instructions corresponding to the basal insulin delivery rate and for a variable time duration relative to an intended time duration.